AI-Native Infrastructure and Design Workflows Attract $8M
Investors are backing a new wave of AI developer tools funding aimed at the friction points of modern software delivery. Platform-as-a-Service startup Zerops has raised USD 2 million (approx. RM9.2 million) in seed financing led by Gi21 Capital to rethink how cloud infrastructure supports AI coding agents and human developers. In parallel, design tooling company Dessn secured USD 6 million (approx. RM27.6 million) in a round led by Connect Ventures, with Betaworks and N49P participating. Together, the USD 8 million (approx. RM36.8 million) in fresh capital underscores a broader shift: as AI accelerates code creation, bottlenecks are moving to infrastructure reliability and designer–developer collaboration. Both companies are betting that teams will demand platforms where AI-generated code can be deployed reliably and where designers can safely work inside live codebases, without waiting on traditional engineering handoffs or wrestling with local environments.
Zerops Eliminates the Dev-to-Production Gap for AI Coding Agents
Zerops is targeting one of cloud computing’s oldest problems: the disconnect between development and production environments that often leads to failed deployments. Instead of maintaining separate tiers, Zerops runs applications in a single project where code behaves identically from initial build through to production, even as systems scale. That consistency is especially crucial for AI coding agents such as Claude, Codex, or Gemini, whose outputs need to run reliably in real-world conditions. Built on its own bare‑metal infrastructure with data centres spread across multiple regions, Zerops claims cost efficiencies that can make it up to four times cheaper than legacy platforms. It uses full Linux containers to give developers machine-level access and offers more than 15 built‑in services, from databases to messaging. The result is a cloud infrastructure startup positioning itself as the predictable backbone for AI-driven development.
Zerops Control Panel: Giving AI Agents Real Cloud Access
To deepen its role in AI-integrated development platforms, Zerops is rolling out Zerops Control Panel (ZCP), a feature purpose-built for AI-driven workflows. ZCP connects AI coding agents directly to real cloud infrastructure within a Zerops project, rather than isolating them in mocked or local environments. Agents can build, deploy, and debug applications under the same conditions used in production, which means the code they generate is closer to production-ready from the first deployment. Human developers share this unified workspace, reviewing and modifying AI outputs with their existing tools, instead of juggling separate sandboxes. Gi21 Capital’s founder describes the market as at an inflection point, where rising cloud costs and the shift to human–AI collaboration demand platforms that own the full stack instead of abstracting it away. Zerops plans to channel its seed round into expanding infrastructure, accelerating product development, and growing its team.
Dessn Lets Designers Work Directly in Live Codebases
While Zerops rethinks infrastructure, Dessn focuses on designer developer collaboration within existing products. The company’s thesis is that as AI makes code cheaper to produce, design quality becomes a primary competitive edge. Dessn lets product designers iterate on live production codebases using AI, without any local setup or dependency wrangling. By running those codebases in the cloud and abstracting the underlying complexity, the platform removes the need for developers to bootstrap environments for designers. That, in turn, simplifies handoffs and shortens feedback loops. Unlike greenfield AI ideation tools such as Lovable or Vercel’s v0, Dessn is aimed at teams that already have production software and want to ship improvements faster. Early customers include teams at Color, voice AI company Wispr, and fintech Mercury, and a Betaworks partner has likened the product to what Figma might build if it launched today, citing its precise fidelity to production environments.
A New Layer of AI-Integrated Development Platforms Emerges
Seen together, Zerops and Dessn highlight a significant evolution in AI developer tools funding: capital is moving beyond generic model infrastructure toward workflow-specific platforms. Zerops targets the reliability side of AI coding agents, ensuring that what AI builds behaves consistently from development to production. Dessn addresses the human side of the equation, putting designers directly into live codebases so that product decisions keep pace with AI-accelerated engineering. Both aim to smooth high-friction points in the AI development cycle rather than replace existing tools outright. Their approaches suggest a future in which infrastructure, design, and AI are deeply integrated—developers collaborate with AI inside unified cloud environments, and designers safely refine production interfaces without heavyweight engineering support. For investors, that convergence signals a growing market for cloud infrastructure startups and collaboration tools that treat AI as a first-class actor in the software lifecycle.